MIP
  • Results
52-week base $200 retire
  • Capacity and Generation
  • Capacity Tables
  • Transmission Expansion
  • Emissions
  • Dispatch
  • Capacity Factors
  • Operational Results
  • Total Capacity
  • New-build Capacity
  • Existing Capacity
  • Total Capacity (wide)
  • Regional Capacity
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, include, exclude)
   2154         # see https://github.com/ipython/ipython/issues/11038
   2155         try:
   2156             dct = self.to_dict()
   2157         except Exception:
-> 2158             utils.display_traceback(in_ipython=True)
   2159             return {}
   2160         else:
   2161             return renderers.get()(dct)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
   2516             # for easier specification of datum encodings.
   2517             copy = self.copy(deep=False)
   2518             copy.data = core.InlineData(values=[{}])
   2519             return super(Chart, copy).to_dict(*args, **kwargs)
-> 2520         return super().to_dict(*args, **kwargs)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/schema/channels.py in ?(self, validate, ignore, context)
     43                 # We still parse it out of the shorthand, but drop it here.
     44                 parsed.pop('type', None)
     45             elif not (type_in_shorthand or type_defined_explicitly):
     46                 if isinstance(context.get('data', None), pd.DataFrame):
---> 47                     raise ValueError(
     48                         'Unable to determine data type for the field "{}";'
     49                         " verify that the field name is not misspelled."
     50                         " If you are referencing a field from a transform,"

ValueError: Unable to determine data type for the field "tech_type"; verify that the field name is not misspelled. If you are referencing a field from a transform, also confirm that the data type is specified correctly.
alt.Chart(...)
  • Total Generation
  • New-build Generation
  • Existing Generation
  • Total Generation (wide)
  • Regional Generation
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, include, exclude)
   2154         # see https://github.com/ipython/ipython/issues/11038
   2155         try:
   2156             dct = self.to_dict()
   2157         except Exception:
-> 2158             utils.display_traceback(in_ipython=True)
   2159             return {}
   2160         else:
   2161             return renderers.get()(dct)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
--> 338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
    340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 338 def _todict(obj, context):
    339     """Convert an object to a dict representation."""
    340     if isinstance(obj, SchemaBase):
    341         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
   2516             # for easier specification of datum encodings.
   2517             copy = self.copy(deep=False)
   2518             copy.data = core.InlineData(values=[{}])
   2519             return super(Chart, copy).to_dict(*args, **kwargs)
-> 2520         return super().to_dict(*args, **kwargs)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/api.py in ?(self, *args, **kwargs)
    846 
    847         # TopLevelMixin instance does not necessarily have to_dict defined
    848         # but due to how Altair is set up this should hold.
    849         # Too complex to type hint right now
--> 850         dct = super(TopLevelMixin, copy).to_dict(*args, **kwargs)  # type: ignore[misc]
    851 
    852         # TODO: following entries are added after validation. Should they be validated?
    853         if is_top_level:

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(self, validate, ignore, context)
    792                 k: v for k, v in kwds.items() if k not in list(ignore) + ["shorthand"]
    793             }
    794             if "mark" in kwds and isinstance(kwds["mark"], str):
    795                 kwds["mark"] = {"type": kwds["mark"]}
--> 796             result = _todict(
    797                 kwds,
    798                 context=context,
    799             )

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):
--> 340         return {k: _todict(v, context) for k, v in obj.items() if v is not Undefined}
    341     elif hasattr(obj, "to_dict"):
    342         return obj.to_dict()
    343     elif isinstance(obj, np.number):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(.0)
--> 340 def _todict(obj, context):
    341     """Convert an object to a dict representation."""
    342     if isinstance(obj, SchemaBase):
    343         return obj.to_dict(validate=False, context=context)

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/utils/schemapi.py in ?(obj, context)
    333 def _todict(obj, context):
    334     """Convert an object to a dict representation."""
    335     if isinstance(obj, SchemaBase):
--> 336         return obj.to_dict(validate=False, context=context)
    337     elif isinstance(obj, (list, tuple, np.ndarray)):
    338         return [_todict(v, context) for v in obj]
    339     elif isinstance(obj, dict):

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/altair/vegalite/v5/schema/channels.py in ?(self, validate, ignore, context)
     43                 # We still parse it out of the shorthand, but drop it here.
     44                 parsed.pop('type', None)
     45             elif not (type_in_shorthand or type_defined_explicitly):
     46                 if isinstance(context.get('data', None), pd.DataFrame):
---> 47                     raise ValueError(
     48                         'Unable to determine data type for the field "{}";'
     49                         " verify that the field name is not misspelled."
     50                         " If you are referencing a field from a transform,"

ValueError: Unable to determine data type for the field "tech_type"; verify that the field name is not misspelled. If you are referencing a field from a transform, also confirm that the data type is specified correctly.
alt.FacetChart(...)
  • Total Start Existing Capacity
  • Total End Existing Capacity
  • Regional End Existing Capacity
tech_type planning_year GenX SWITCH TEMOA USENSYS
Battery 2027 21914 21914 21847 21914
Battery 2030 21914 21914 18878 21914
Battery 2035 21914 21914 18866 21914
Battery 2040 21914 21914 18857 21914
Battery 2045 21914 21914 18850 21914
Battery 2050 21914 21914 18842 21914
Coal 2027 161728 167338 72309 14293
Coal 2030 21560 148628 nan nan
Coal 2035 217 142192 0 98
Coal 2040 52 137084 329 535
Coal 2045 38 136744 327 97
Coal 2050 38 136744 0 nan
Distributed Solar 2027 47556 47886 47886 47556
Distributed Solar 2030 72304 72744 47886 72304
Distributed Solar 2035 96511 97023 72744 96511
Distributed Solar 2040 102759 103282 97021 102759
Distributed Solar 2045 107818 108374 103282 107818
Distributed Solar 2050 116123 116713 108374 116123
Geothermal 2027 1838 1836 825 1838
Geothermal 2030 1838 1836 825 1838
Geothermal 2035 1838 1836 825 1838
Geothermal 2040 1838 1836 824 1838
Geothermal 2045 1838 1836 823 1838
Geothermal 2050 1838 1836 823 1838
Hydro 2027 99080 99033 85047 99080
Hydro 2030 99073 99021 69204 99073
Hydro 2035 99073 99015 69187 99073
Hydro 2040 99073 99015 69161 99073
Hydro 2045 99073 99015 69144 99073
Hydro 2050 99073 99015 69134 99073
Natural Gas CC 2027 316600 317383 306786 308228
Natural Gas CC 2030 304778 316893 284258 239225
Natural Gas CC 2035 246181 316223 249351 248731
Natural Gas CC 2040 246099 316223 252417 257864
Natural Gas CC 2045 246088 315716 252399 280581
Natural Gas CC 2050 246078 315716 252378 277194
Natural Gas CT 2027 148779 148780 134719 126083
Natural Gas CT 2030 122693 148781 126724 44653
Natural Gas CT 2035 46833 147625 43911 56782
Natural Gas CT 2040 46711 147362 46449 79941
Natural Gas CT 2045 46699 147168 46424 101400
Natural Gas CT 2050 46691 147169 46406 114932
Nuclear 2027 97038 97038 81523 80760
Nuclear 2030 97038 97038 81520 96267
Nuclear 2035 97038 97038 81520 96260
Nuclear 2040 97038 97038 81508 96267
Nuclear 2045 96267 97038 81506 96267
Nuclear 2050 96262 97038 81506 96193
Solar 2027 115692 115697 115693 115683
Solar 2030 115690 115685 115692 115683
Solar 2035 115685 115685 115692 115673
Solar 2040 115685 115685 115689 115683
Solar 2045 115684 115686 115689 115685
Solar 2050 115681 115683 115686 115680
Wind 2027 155903 152904 155366 155861
Wind 2030 155871 155829 155363 155798
Wind 2035 155854 155831 155362 155815
Wind 2040 155852 155829 155360 155827
Wind 2045 155849 155830 155360 155799
Wind 2050 155846 155830 155356 155798
tech_type planning_year GenX SWITCH TEMOA USENSYS
Battery 2027 21914 21914 18888 21914
Battery 2030 21914 21914 18866 21914
Battery 2035 21914 21914 18857 21914
Battery 2040 21914 21914 18850 21914
Battery 2045 21914 21914 18842 21914
Battery 2050 21914 21914 18820 21914
Coal 2027 21560 21168 17802 14293
Coal 2030 217 0 nan nan
Coal 2035 52 97 329 98
Coal 2040 38 97 327 535
Coal 2045 38 0 53 97
Coal 2050 8 0 15 nan
Distributed Solar 2027 47556 47886 47886 47556
Distributed Solar 2030 72304 72744 72744 72304
Distributed Solar 2035 96511 97023 97021 96511
Distributed Solar 2040 102759 103282 103282 102759
Distributed Solar 2045 107818 108374 108374 107818
Distributed Solar 2050 116123 116713 116713 116123
Geothermal 2027 1838 1836 825 1838
Geothermal 2030 1838 1836 825 1838
Geothermal 2035 1838 1836 824 1838
Geothermal 2040 1838 1836 823 1838
Geothermal 2045 1838 1836 823 1838
Geothermal 2050 1838 1836 823 1838
Hydro 2027 99080 99033 69204 99080
Hydro 2030 99073 99021 69187 99073
Hydro 2035 99073 99015 69161 99073
Hydro 2040 99073 99015 69144 99073
Hydro 2045 99073 99015 69134 99073
Hydro 2050 99073 99015 69085 99073
Natural Gas CC 2027 304778 304257 302136 308228
Natural Gas CC 2030 246181 242110 249351 239225
Natural Gas CC 2035 246099 256408 252417 248731
Natural Gas CC 2040 246088 265940 252399 257864
Natural Gas CC 2045 246078 277347 252388 280581
Natural Gas CC 2050 246074 275656 252364 277194
Natural Gas CT 2027 122693 122736 130314 126083
Natural Gas CT 2030 46833 49201 43921 44653
Natural Gas CT 2035 46711 52350 46459 56782
Natural Gas CT 2040 46699 83450 46424 79941
Natural Gas CT 2045 46691 104239 46416 101400
Natural Gas CT 2050 46686 105719 46387 114932
Nuclear 2027 97038 97038 81520 80760
Nuclear 2030 97038 97038 81520 96267
Nuclear 2035 97038 97038 81508 96260
Nuclear 2040 96267 96268 81506 96267
Nuclear 2045 96262 96268 81506 96267
Nuclear 2050 96255 96268 81504 96193
Solar 2027 115690 115696 115692 115683
Solar 2030 115685 115685 115692 115683
Solar 2035 115685 115685 115689 115673
Solar 2040 115684 115685 115689 115683
Solar 2045 115681 115685 115686 115685
Solar 2050 115681 115682 115686 115680
Wind 2027 155871 154374 155363 155861
Wind 2030 155854 155800 155362 155798
Wind 2035 155852 155829 155360 155815
Wind 2040 155849 155829 155360 155827
Wind 2045 155846 155800 155356 155799
Wind 2050 155845 155800 155354 155798
agg_zone tech_type resource_name planning_year GenX SWITCH TEMOA USENSYS
Loading ITables v2.1.4 from the internet... (need help?)
  • Expansion by line
  • Total expansion
  • Total expansion map
  • Emissions
  • Emissions intensity
  • 2030 Dispatch
  • 2040 Dispatch
  • 2050 Dispatch
  • 2030 Wind Dispatch
  • 2040 Wind Dispatch
  • 2050 Wind Dispatch
  • Battery
  • Solar
  • Wind
  • Natural Gas CC
  • Natural Gas CT
  • Hydro